Sign up to save your podcasts
Or
Share S1 | E8 | What does it take to become a Product Manager in AI and ML with Alon Bochman - Head of Compliance at YouTube Ads
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
S1 | E8 | What does it take to become a Product Manager in AI and ML with Alon Bochman - Head of Compliance at YouTube Ads
This is Episode 8 of the ThinkData Podcast and in this episode, we spoke with Alon Bochman who heads up Privacy, Transparency & Compliance at YouTube Ads.
He has an excellent background in Artificial intelligence and Machine Learning which has seen him build and launch some of the most innovative and cutting-edge AI products for Microsoft, YouTube, and Genpact.
We discussed -
- His background and journey to Google(from a non-classic career in finance to launching and selling his first software firm)
- When should companies look to establish a dedicated Data Product function, and what considerations should they make before making those first hires?
- What is behind the demand and interest in Data Product Management?
- What should people consider before deciding on a career in Data Product management?
- What considerations should candidates consider before deciding whether to join a FAANG or Large Tech firm?
- What does the future hold for AI and ML heading(from a Product perspective)
Here are the resources Alon mentioned for anyone looking to switch to a Product career!
1. Cracking the PM Interview
2. Cracking the PM Career
3. Inspired
4. Product School
5. Exponent
View all episodes
By Dataworks Group LimitedThis is Episode 8 of the ThinkData Podcast and in this episode, we spoke with Alon Bochman who heads up Privacy, Transparency & Compliance at YouTube Ads.
He has an excellent background in Artificial intelligence and Machine Learning which has seen him build and launch some of the most innovative and cutting-edge AI products for Microsoft, YouTube, and Genpact.
We discussed -
- His background and journey to Google(from a non-classic career in finance to launching and selling his first software firm)
- When should companies look to establish a dedicated Data Product function, and what considerations should they make before making those first hires?
- What is behind the demand and interest in Data Product Management?
- What should people consider before deciding on a career in Data Product management?
- What considerations should candidates consider before deciding whether to join a FAANG or Large Tech firm?
- What does the future hold for AI and ML heading(from a Product perspective)
Here are the resources Alon mentioned for anyone looking to switch to a Product career!
1. Cracking the PM Interview
2. Cracking the PM Career
3. Inspired
4. Product School
5. Exponent